| Summary: | 博士 === 國立臺灣大學 === 環境工程學研究所 === 94 === The uncertainty of the AHP methodology is analyzed in a systematic view in this study. This work addresses two kinds of uncertainties associated with the AHP: the first is uncertainty associated with normalization; the other is the uncertainty of evaluation of qualitative criteria. The effect of fuzzy linguistic variables methods are also examined in this investigation. Simulation experiments are developed to quantify the uncertainty of the AHP. Computational results reveal that (1) the rank reversal phenomenon can occur no matter whether an alternative is added or not; (2) the procedure of normalization is the principal source of the uncertainty of the AHP methodology; (3) the fuzzy linguistic variables methods can reduce the uncertainty of the AHP. The transmission of uncertainty of the AHP is also described in this study.
Environmental management problems are very complex and require considering numerous factors, such as environmental, economic, and social aspects. Qualitative and quantitative data always exist simultaneously in real world decision making situations. A novel multiobjective programming approach is proposed in this study to solve qualitative and quantitative objectives for environmental management problems. This approach integrates the multiattribute and multiobjective decision making methods and contains three main steps to solve the multiobjective programming problems, including formulation of the decision model, the alternatives prioritization by the fuzzy AHP method, and solving the model.
This study also reviews several models developed to support decision making in municipal solid waste management (MSWM). The concepts underlying sustainable MSWM model can be divided into two categories: one incorporates social factors into decision making methods, and the other includes public participation in the decision-making process. The public is only apprised or takes part in discussion and has little effect on decision making in most researches. Few studies have considered public participation in the decision-making process. Additionally, all the methods seek to strike a compromise between concerned criteria, not between stakeholders. However, the source of the conflict arises from the stakeholders’ complex web of value. Such conflict affects the feasibility of implementing any decision.
The purpose of this study is to develop a sustainable decision making model for MSWM to overcome these shortcomings. The proposed model combines multicriteria decision making (MCDM) and a consensus analysis model (CAM). The CAM is built up to aid decision-making when MCDM methods are utilized and, subsequently, a novel sustainable decision making model for MSWM is developed. The main feature of CAM is the assessment of the degree of consensus between stakeholders for particular alternatives. Two case studies for food waste management and fly ash of municipal solid waste incinerator in Taipei are presented to demonstrate the practicality of this model.
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